Tutorials

The following tutorials are available to get you started working with Control-M Automation API and introduce you to the best practices of using Control-M Automation API:

Tutorial	Description
Defining Authorizations for Control-M Roles and Users	Explains how to define new roles and users for Control-M and how to control the authorizations that they have for Control-M resources.
Creating Your First Job Flow	Explains how to write jobs that execute OS commands and scripts.
Automating Code Deployment	Explains how DevOps engineers can automate code deployment.
Editing Part of an Existing Flow	Explains how to modify a single job within a flow, without changing any other jobs or folders in the flow.
Running Applications and Programs in Your Environment	Explains how to run the following types of job flows: Running a Script and Command Job Flow Running a File Transfer and Database Queries Job Flow Running a Hadoop Spark Job Flow
Building a Docker Container for Batch Applications	Explains how to build a docker container for Control-M/Agent and run some basic API commands.
Sending Events to External Monitoring Tools	Explains how to set up the transfer of alerts to an external client for monitoring through external tools, such as an event management system.

Additional code samples are available through the Control-M GitHub pages:

To access Control-M Automation API documentation while working in the API, you can use the following API commands:

REST API documentation: ctm documentation restAPI
Web-based API documentation: ctm doc gettingStarted